I am looking for small and medium-sized Czech e-commerce companies that use AI, test it or are only beginning to consider it. My research examines what determines whether AI creates real value for the company and for the people who work with it every day.
I am accepting companies on a rolling basis until the planned number of participating companies is reached.
I am examining the organisational and managerial conditions under which artificial intelligence produces tangible benefits. The research also compares management expectations with employees' day-to-day experience.
I am looking for approximately 15 companies at different stages of AI adoption. A company may have its own automations, use only a few common tools or still be considering where to begin.
I send the questionnaire and interview structure in advance. You will not be asked for internal financial statements or expected to join a lengthy academic marathon.
| Activity | Who | Estimated time |
|---|---|---|
| Online questionnaire or semi-structured interview | Owner, managing director, CEO or, depending on the company, an operations or marketing lead | 15-minute questionnaire or 45-minute interview |
| Anonymous online questionnaire | Several employees from relevant functions such as marketing, customer service, logistics or purchasing | About 15 minutes per person |
| Optional clarification | The company's contact person | A short written follow-up or call |
Why employees are included: Comparing day-to-day experience with the management perspective is what shows how AI actually works in practice. Management will not know who completed the questionnaire or how any individual responded.
Participation should not end with the data disappearing into an academic document. Every participating company receives its own practical output.
An individual Executive Report of approximately 5-7 pages, showing the company's maturity across AI strategy, adoption and governance compared with the anonymised average of participating companies.
An overview of strengths, barriers and areas where further AI development makes sense. Without pretending that every process inevitably needs another tool.
With at least five employee responses, the company receives an aggregated comparison of management and employee views. With fewer responses, I provide a qualitative summary based on the interview.
Participating employees receive AI tips tailored to their type of work. The company can also receive the main findings and, after the defence, the final dissertation.
In addition to the research output, I offer participating companies practical help from the areas in which I work professionally. We agree on the exact form in advance based on your needs and my capacity.
First, we choose help that makes sense for the company. I do not want to offer a universal package simply because it looks tidy in a list.
The study is designed so that companies and employees can participate openly without disclosing internal information publicly.
Companies and individuals are recorded only under codes. I will know the company's identity and, if necessary, so will my dissertation supervisor.
The company name will not appear in the dissertation, at the defence or in published results. Published findings will be aggregated.
Management will not know who completed the questionnaire or how individual people responded. A company-level comparison is created only from five or more employee responses.
I do not need internal financial statements or commercially sensitive data. The informed consent explains the data processing conditions in detail.
A few lines about the company, team size and whether you currently use AI are enough.
In 15-20 minutes, we cover participation, timing, data protection and any questions.
I send the material in advance and we agree on timing and the practical value I will provide in return.
I am a business analyst and doctoral researcher in Business Management at LIGS University. The study combines an academic framework with my practical experience in data, processes, e-commerce and organisational change.
Dissertation topic: Determinants of implementation and the economic benefits of artificial intelligence in small and medium-sized e-commerce companies in the Czech Republic
Dissertation supervisor: PhDr. Pavel Makovský, Ph.D., MBA
No. I am looking for companies that actively use AI, are testing individual tools or are only beginning to consider adoption.
No. The company will not be identifiable in the dissertation, at the defence or in published results. Companies and individuals are recorded under codes.
A management representative completes a questionnaire in about 15 minutes or takes part in a 45-minute online interview. The employee questionnaire takes about 15 minutes per person.
Please still get in touch. Five responses are the threshold for an anonymous aggregated employee comparison in the company's individual output, not automatically a condition for taking part in the study.
I am accepting companies on a rolling basis until the planned number of participating companies is reached. The current recruitment status is always shown at the top of this page.
Send me a few basic details. I usually reply within two business days and will tell you directly whether participation makes sense.
